1 / 18

multi-dimensional poverty (MPI) methods applied to the saint lucia labour force survey

multi-dimensional poverty (MPI) methods applied to the saint lucia labour force survey Some ideas for the development of an oecs multi-dimensional poverty index Based on AVAILABLE DATA SOURCES By Edwin St Catherine director of statistics, saint Lucia.

katelyn-hogan
Télécharger la présentation

multi-dimensional poverty (MPI) methods applied to the saint lucia labour force survey

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. multi-dimensional poverty (MPI) methods applied to the saint lucialabour force survey Some ideas for the development of an oecs multi-dimensional poverty index Based on AVAILABLE DATA SOURCES By Edwin St Catherine director of statistics, saint Lucia

  2. St lucialabour force survey (LFS)Metadata

  3. LFS 2013 - Dimensions & Indicators 1/4 1/2

  4. Saint Lucia LFS 2013 Indicators headcount and missing values

  5. St Lucia: Annual LFS 2013 Multi-dimensional Poverty Index results

  6. St Lucia: Annual LFS 2013 Multi-dimensional Poverty Index results • H = 35% - This means that 35% of the population is poor (deprived in 30% or more dimensions/indicators), a limit case would be maximum poverty headcount if persons were considered poor if poor in one or more dimensions….) • A = 49%- On average the poor (those deprived in 30% or more dimensions) are deprived in approximately 49%of the indicators. • M0 = 0.173- The poor in this society experience 17.3% of the total possible deprivations the society could experience.

  7. LFS 2013 - Headcount ratio under different cut-offs Headcount Ratio Poverty Cut-off Person is poor if they experience deprivations in at least 3 of 10 indicators

  8. ADJUSTED Headcount ratio under different cut-offs Adjusted Headcount Ratio Poverty Cut-off

  9. ADJUSTED Headcount ratio under different cut-offs by district

  10. Raw headcount ratios by urban/rural

  11. Censored headcount: persons poor and deprived in specific indicators

  12. OUR MPI SHOULD BE LIKE A HIGH POWERED LENS You can zoom in to see more

  13. Regional Examples of MPI The Multidimensional Poverty Measurement developed by Coneval (Mexico) is a bi-dimensional measure. The model’s conceptual framework is the human rights approach and the dimensions included in the model are guided by the Social Development Law (2004). Columbia has its own version of the MPI

  14. Institutional processes to ensure data is collected to deliver • Development partners  ( CDB, UN agencies, OECS Sec., etc.) have agreed to support the development of an harmonized multidimensional poverty measurement (MPM) for the sub-region as a way of regulating the collection, analysis and discussion of core social.  • The MPM will include the development of a sub-regional multidimensional poverty index USING: • a revised LFS and a revised Country poverty assessment (CPA) the deprivation in key areas such as • i) housing, • ii) EMPLOYMENT, • iii) Safe drinking water, • iv) Information, • v) Foodand income • vi) Education • vii) Health by gender, age, geographic location, to support the formulation of new policies and programs that can address and effectively target disadvantaged groups in society.

  15. Political and policy framework for the indicators and dimensions to be included in the MPI • OECS Authority • CDB Board • Ministerial Meeting on MPI – identify an MPI Champion Minister • Questions to Supplement the LFS to make it a more robust tool for constructing an MPI • Pool at least one year of this data to report on an annual basis • Align the eventual indicators chosen to a philosophical framework, example Human Rights or Post 2015 Sustainable Development Indicators Conclusions

  16. THANK YOU

More Related